ABSTRACT
The outbreak of COVID-19 at the end of 2019 has posed an enormous threat to people's physical and psychological health, especially those who are infected during the epidemic. Understanding how the infected people behaved during the pandemic and whether long-term effects are exerted even after they were cured is essential for guiding them to conduct a more comprehensive recovery. Large scale crowd-sourced data provides a chance to investigate their behavior patterns. In this paper, we explore the possible differences in mobility patterns between the infected and the uninfected, relying on a large volume of crowd -sourced location data contributed by smartphone users consisting of 11,414 infected cases and 12,793 uninfected people between Jun. 1, 2019 and Dec 31, 2020 in Wuhan, China. We characterize mobility distinctions of the two groups by introducing five mobility indicators that accurately capture spatio-temporal patterns of human mobility. We reveal that the infected kept higher mobility level during the pandemic. Moreover, the COVID-19 caused lower recovery efficiency on mobility of the infected, including later recovery time, lower speed and worse status. © 2022 IEEE.